Metro maps of science

Dafna Shahaf*, Carlos Guestrin, Eric Horvitz

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

70 Scopus citations

Abstract

As the number of scientific publications soars, even the most enthusiastic reader can have trouble staying on top of the evolving literature. It is easy to focus on a narrow aspect of one's field and lose track of the big picture. Information overload is indeed a major challenge for scientists today, and is especially daunting for new investigators attempting to master a discipline and scientists who seek to cross disciplinary borders. In this paper, we propose metrics of influence, coverage and connectivity for scientific literature. We use these metrics to create structured summaries of information, which we call metro maps. Most importantly, metro maps explicitly show the relations between papers in a way which captures developments in the field. Pilot user studies demonstrate that our method helps researchers acquire new knowledge efficiently: map users achieved better precision and recall scores and found more seminal papers while performing fewer searches.

Original languageAmerican English
Title of host publicationKDD'12 - 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
Pages1122-1130
Number of pages9
DOIs
StatePublished - 2012
Externally publishedYes
Event18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2012 - Beijing, China
Duration: 12 Aug 201216 Aug 2012

Publication series

NameProceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Conference

Conference18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2012
Country/TerritoryChina
CityBeijing
Period12/08/1216/08/12

Keywords

  • information
  • metro maps
  • summarization

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